Digital twins and e-commerce in low-income communities in Sub-Saharan Africa

Abstract

Comprising five refereed publications, this thesis develops an experimental framework using digital twins to facilitate analysis of sustainable development through virtual representations for low-income communities in Sub-Saharan Africa. E-commerce virtual interventions were designed in cyberspace before being implemented as a real project in Ghana’s Tetegu urban community. Artificial intelligence, including agent-based modeling and machine learning, aids in studying social well-being and the cumulative effects of interventions across domains with different levels of complexity and scale.